NLPExplorer

Moontae Lee

Number of Papers:- 20

Number of Citations:- 3

First ACL Paper:- 2014

Latest ACL Paper:- 2024

Venues:-

EMNLP

NAACL

ClinicalNLP

ACL

Co-Authors:-

Similar Authors:-

LG AI Research & KAIST at EHRSQL 2024: Self-Training Large Language Models with Pseudo-Labeled Unanswerable Questions for a Reliable Text-to-SQL System on EHRs ClinicalNLP WS

You don’t need a personality test to know these models are unreliable: Assessing the Reliability of Large Language Models on Psychometric Instruments NAACL

Code Models are Zero-shot Precondition Reasoners NAACL

Small Language Models Need Strong Verifiers to Self-Correct Reasoning F i n d i n g s - A C L

Understanding the Capabilities and Limitations of Large Language Models for Cultural Commonsense NAACL

Semantic Skill Grounding for Embodied Instruction-Following in Cross-Domain Environments F i n d i n g s - A C L

Prospector: Improving LLM Agents with Self-Asking and Trajectory Ranking F i n d i n g s - E M N L P

Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models EMNLP

When ”A Helpful Assistant” Is Not Really Helpful: Personas in System Prompts Do Not Improve Performances of Large Language Models F i n d i n g s - E M N L P

On Sample-Efficient Code Generation EMNLP

Unsupervised Task Graph Generation from Instructional Video Transcripts F i n d i n g s - A C L

GRACE: Discriminator-Guided Chain-of-Thought Reasoning F i n d i n g s - E M N L P

Moontae Lee

Number of Papers:- 20

Number of Citations:- 3

First ACL Paper:- 2014

Latest ACL Paper:- 2024

Venues:-

Co-Authors:-

Similar Authors:-

LG AI Research & KAIST at EHRSQL 2024: Self-Training Large Language Models with Pseudo-Labeled Unanswerable Questions for a Reliable Text-to-SQL System on EHRs ClinicalNLP WS

You don’t need a personality test to know these models are unreliable: Assessing the Reliability of Large Language Models on Psychometric Instruments NAACL

Code Models are Zero-shot Precondition Reasoners NAACL

Small Language Models Need Strong Verifiers to Self-Correct Reasoning F i n d i n g s - A C L

Understanding the Capabilities and Limitations of Large Language Models for Cultural Commonsense NAACL

Semantic Skill Grounding for Embodied Instruction-Following in Cross-Domain Environments F i n d i n g s - A C L

Prospector: Improving LLM Agents with Self-Asking and Trajectory Ranking F i n d i n g s - E M N L P

Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models EMNLP

When ”A Helpful Assistant” Is Not Really Helpful: Personas in System Prompts Do Not Improve Performances of Large Language Models F i n d i n g s - E M N L P

On Sample-Efficient Code Generation EMNLP

Unsupervised Task Graph Generation from Instructional Video Transcripts F i n d i n g s - A C L

GRACE: Discriminator-Guided Chain-of-Thought Reasoning F i n d i n g s - E M N L P

Merging Generated and Retrieved Knowledge for Open-Domain QA EMNLP

When to Read Documents or QA History: On Unified and Selective Open-domain QA F i n d i n g s - A C L

From Heuristic to Analytic: Cognitively Motivated Strategies for Coherent Physical Commonsense Reasoning EMNLP

Few-shot Reranking for Multi-hop QA via Language Model Prompting ACL

Knowledge Unlearning for Mitigating Privacy Risks in Language Models ACL

Few-shot Subgoal Planning with Language Models NAACL

Practical Correlated Topic Modeling and Analysis via the Rectified Anchor Word Algorithm EMNLP

Low-dimensional Embeddings for Interpretable Anchor-based Topic Inference EMNLP